Muhammed Abdelaal's repositories
SAR2Optical
This repository hosts a collection of experiments aimed at testing the effectiveness of transcoding Synthetic Aperture Radar (SAR) imagery to optical ones. The focus of these experiments is on solving the challenge of waterbody extraction in arid regions posed by the similarity of the intensity values of waterbodies and sand landcover in SAR image
PyTorch4CV
This repository contains a collection of computer vision projects implemented using PyTorch. I developed it for the purpose of learning and practicing computer vision concepts and techniques, and acquiring hands-on experience with PyTorch.
EuroSat
Land Use /Land Cover Classification using PyTorch with the RGB EuroSat Dataset
github-final-project
This repo is the final assignment for Git and Github IBM Course
gkpbt-css-circle
css-circle
jbbmo-Introduction-to-Git-and-GitHub
Introduction to Git and GitHub
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
KITTI_visual_odometry
Tutorial for working with the KITTI odometry dataset in Python with OpenCV. Includes a review of Computer Vision fundamentals.
lab-agile-planning
This repository contains the lab for agile planning, a part of introduction to agile development and scrum course
Modern-Computer-Vision-with-PyTorch
Modern Computer Vision with PyTorch, published by Packt
MuhammedM294
My GitHub Profile
P1_Facial_Keypoints
First project for CVND: facial keypoint detection.
python-visual-odometry
Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/
python_for_image_processing
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
RoboticsMaster
Online Robotics Master
techniques
Techniques for deep learning with satellite & aerial imagery
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
Udacity-Sensor-Fusion-Nanodegree
Course projects for the Sensor Fusion Nanodegree program on Udacity.
udlbook
Understanding Deep Learning - Simon J.D. Prince